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Michael Johannes Barz, M.Sc.

Organizational unit Interactive Machine Learning
Contact +49 681 85775 4819 (Saarbrücken)

Address (Saarbrücken) Gebäude D3 1Stuhlsatzenhausweg 3D-66123 Saarbrücken

Publications

Speech Imagery BCI Training Using Game with a Purpose

Abdulrahman Mohamed Selim; Maurice Rekrut; Michael Barz; Daniel Sonntag

In: Proceedings of the 2024 International Conference on Advanced Visual Interfaces. International Working Conference on Advanced Visual Interfaces (AVI-2024), June 3-7, Arenzano, Genoa, Italy, Pages 1-5, ISBN 9798400717642, Association for Computing Machinery, New York, NY, USA, 6/2024.

To the publication

A review of machine learning in scanpath analysis for passive gaze-based interaction

Abdulrahman Mohamed Selim; Michael Barz; Omair Shahzad Bhatti; Hasan Md Tusfiqur Alam; Daniel Sonntag

In: Maria Chiara Caschera (Hrsg.). Frontiers in Artificial Intelligence (Front. Artif. Intell.), Vol. 7, Pages 1-28, Frontiers Media SA, Avenue du Tribunal-Fédéral 34 1005 Lausanne Switze, 6/2024.

To the publication

A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE)

Daniel Sonntag; Michael Barz; Thiago Gouvea

Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, DFKI Technical Report, 6/2024.

To the publication
All publications

Profile

  • No-IDLE

    Interactive Deep Learning Enterprise

    In recent years, machines have surpassed humans in the performance of specific and narrow tasks such as some aspects of image recognition or decision making along clinical pathways in the medical…

    No-IDLE

  • MASTER

    MASTER: Mixed reality ecosystem for teaching robotics in manufacturing

    Many industries are transitioning to Industry 4.0 production models by adopting robots in their processes. In parallel, Extended Reality (XR) technologies have reached sufficient maturity to enter the…

    MASTER

  • SciBot

    Data Science Chatbot: A text-based interface, that learns from experts to support experts

    The goal of this project is the development of efficient methods for analyzing and for learning to analyse the user behavior during interactions with an expert system. The considered scenario includes…

    SciBot

  • GeAR

    Gelingensbedingungen und Grundsatzfragen von Augmented Reality in experimentellen Lehr-Lernszenarien

    In Augmented Reality the real world is extended by additional information. Already common areas of application are navigation or the transmission of sports events such as football or ski jumping.…

    GeAR